A Hybrid IGA-SA Algorithm for Optimization Problems in Fault Diagnosis-Reference-Cited by-同舟云学术

A Hybrid IGA-SA Algorithm for Optimization Problems in Fault Diagnosis

Published:2014-06 Issue: Volume:571-572 Page:187-190
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Xiao Quan¹,Lin Mao²,Liu Shuai³

Affiliation:

1. Air Force Engineering University

2. Air Force Engineering University Aeronautics and Astronautics Engineering College

3. Air Force Engineering University Air and Missile Defense College

Abstract

This paper presents a hybrid algorithm combining immune genetic algorithm (IGA) with simulated annealing (SA) to overcome the shortages of both the two algorithms respectively. SA is introduced to solve the problem of IGA in fault diagnosis, unable to reach whole convergence and etc. by designing a new kind of self-adaption strategy of genetic parameters. Finally, the Schaffer function is introduced to show the optimization ability of this proposed IGA-SA algorithm.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.571-572.187.pdf

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